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A First Course in Statistics

ISBN: 9780135792773 | 0135792770
Edition: 6th
Format: Hardcover
Publisher: Prentice Hall Professional Technical Reference
Pub. Date: 1/1/1997

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SummaryTable of Contents
For the one semester general statistics course, this text has been revised to emphasize statistical thinking. Topics of data collection including observations, experiments, and surveys are introduced in Chapter 1. Over 60% of examples and exercises have been updated. Cases are all new and stress evaluation of statistical studies. Clear explanations, detailed examples.
Prefaceix
Chapter 1 Statistics, Data, and Statistical Thinking
1(20)
1.1 The Science of Statistics
2(1)
... MORE
1.2 Types of Statistical Applications
2(2)
1.3 Fundamental Elements of Statistics
4(4)
1.4 Types of Data
8(2)
1.5 Collecting Data
10(4)
CASE STUDY 1.1 The Latest Hite Report--Controversy over the Numbers
12(2)
CASE STUDY 1.2 A "20/20" View of Surveys: Fact or Fiction?
14(1)
1.6 The Role of Statistics in Critical Thinking
14(2)
Quick Review
16(5)
Chapter 2 Methods for Describing Sets of Data
21(70)
2.1 Describing Qualitative Data
22(7)
2.2 Graphical Methods for Describing Quantitative Data
29(13)
CASE STUDY 2.1 The "Eye Cue" Test: Does Experience Improve Performance?
35(7)
2.3 Summation Notation
42(1)
2.4 Numerical Measures of Central Tendency
43(8)
2.5 Numerical Measures of Variability
51(5)
2.6 Interpreting the Standard Deviation
56(8)
2.7 Numerical Measures of Relative Standing
64(6)
CASE STUDY 2.2 Computer Phobia and Secondary Technical Education Teachers
67(3)
2.8 Quartiles and Box Plots (Optional)
70(7)
CASE STUDY 2.3 Suicide in Urban Jails
77(1)
2.9 Distorting the Truth with Descriptive Techniques
77(5)
Quick Review
82(9)
Chapter 3 Probability
91(54)
3.1 Events, Sample Spaces, and Probability
92(12)
CASE STUDY 3.1 Game Show Strategy: To Switch or Not to Switch?
100(4)
3.2 Unions and Intersections
104(3)
3.3 Complementary Events
107(2)
3.4 The Additive Rule and Mutually Exclusive Events
109(5)
3.5 Conditional Probability
114(6)
3.6 The Multiplicative Rule and Independent Events
120(10)
CASE STUDY 3.2 O.J., Spousal Abuse, and Murder
126(4)
3.7 Probability and Statistics: An Example
130(1)
3.8 Random Sampling
131(7)
CASE STUDY 3.3 Lottery Buster!
136(2)
Quick Review
138(7)
Chapter 4 Random Variables and Probability Distributions
145(64)
4.1 Two Types of Random Variables
146(3)
4.2 Probability Distributions for Discrete Random Variables
149(9)
CASE STUDY 4.1 "The Showcase Showdown"
153(5)
4.3 The Binomial Distribution
158(10)
CASE STUDY 4.2 The Space Shuttle Challenger: Catastrophe in Space
166(2)
4.4 Probability Distributions for Continuous Random Variables
168(1)
4.5 The Normal Distribution
169(13)
CASE STUDY 4.3 IQ and the Bell Curve
180(2)
4.6 Sampling Distributions
182(7)
4.7 Properties of Sampling Distributions: Unbiasedness and Minimum Variance (Optional)
189(4)
4.8 The Central Limit Theorem
193(8)
CASE STUDY 4.4 The Insomnia Pill
198(3)
Quick Review
201(8)
Chapter 5 Inferences Based on a Single Sample: Estimation with Confidence Intervals
209(36)
5.1 Large-Sample Confidence Interval for a Population Mean
210(7)
5.2 Small-Sample Confidence Interval for a Population Mean
217(8)
5.3 Large-Sample Confidence Interval for a Population Proportion
225(7)
CASE STUDY 5.1 Suicide in Urban Jails--Revisited
228(4)
5.4 Determining the Sample Size
232(6)
CASE STUDY 5.2 Is Caffeine Addictive?
236(2)
Quick Review
238(7)
Chapter 6 Inferences Based on a Single Sample: Tests of Hypothesis
245(42)
6.1 The Elements of a Test of Hypothesis
246(6)
CASE STUDY 6.1 Statistics Is Murder!
250(2)
6.2 Large-Sample Test of Hypothesis About a Population Mean
252(6)
6.3 Observed Significance Levels: p-Values
258(6)
6.4 Small-Sample Test of Hypothesis About a Population Mean
264(6)
6.5 Large-Sample Test of Hypothesis About a Population Proportion
270(6)
CASE STUDY 6.2 Verifying Petitions--How Many to Check?
274(2)
6.6 A Nonparametric Test About a Population Median (Optional)
276(5)
Quick Review
281(6)
Chapter 7 Comparing Population Means
287(74)
7.1 Comparing Two Population Means: Independent Sampling
288(19)
CASE STUDY 7.1 Detection of Rigged Milk Prices
296(11)
7.2 Comparing Two Population Means: Paired Difference Experiments
307(12)
CASE STUDY 7.2 An IQ Comparison of Identical Twins Reared Apart
314(5)
7.3 Determining the Sample Size
319(3)
7.4 A Nonparametric Test for Comparing Two Populations: Independent Sampling (Optional)
322(8)
7.5 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiments (Optional)
330(7)
7.6 Comparing Three or More Population Means: Analysis of Variance (Optional)
337(14)
Quick Review
351(10)
Chapter 8 Comparing Population Proportions
361(38)
8.1 Comparing Two Population Proportions: Independent Sampling
362(6)
8.2 Determining the Sample Size
368(2)
8.3 Comparing Population Proportions: Multinomial Experiment (Optional)
370(8)
8.4 Contingency Table Analysis (Optional)
378(13)
CASE STUDY 8.1 Lifestyles of the Married (and Not Famous)
385(6)
Quick Review
391(8)
Chapter 9 Simple Linear Regression
399(70)
9.1 Probabilistic Models
400(4)
9.2 Fitting the Model: The Least Squares Approach
404(10)
9.3 Model Assumptions
414(1)
9.4 An Estimator of 2
415(4)
9.5 Assessing the Utility of the Model: Making Inferences About the Slope 1
419(7)
9.6 The Coefficient of Correlation
426(4)
9.7 The Coefficient of Determination
430(5)
9.8 Using the Model for Estimation and Prediction
435(12)
CASE STUDY 9.1 Statistical Assessment of Damage to Bronx Bricks
440(7)
9.9 Simple Linear Regression: An Example
447(3)
9.10 A Nonparametric Test for Correlation (Optional)
450(8)
Quick Review
458(11)
Appendix A Tables469(24)
Appendix B Data Sets493(8)
Appendix C Calculation Formulas for Analysis of Variance: Independent Sampling501(4)
Answers to Selected Odd-Numbered Exercises505(6)
References511(4)
Index515

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